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Proceedings of the International Workshop on Recommender Systems for Citizens最新文献

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Users psychological profiles for leisure activity recommendation: user study 休闲活动推荐的用户心理概况:用户研究
Proceedings of the International Workshop on Recommender Systems for Citizens Pub Date : 2017-08-31 DOI: 10.1145/3127325.3127328
Diana Nurbakova, Léa Laporte, S. Calabretto, J. Gensel
{"title":"Users psychological profiles for leisure activity recommendation: user study","authors":"Diana Nurbakova, Léa Laporte, S. Calabretto, J. Gensel","doi":"10.1145/3127325.3127328","DOIUrl":"https://doi.org/10.1145/3127325.3127328","url":null,"abstract":"Leisure activities are essential in the individual's pursuit of well-being and higher satisfaction with life. In the last few years, the event-based social networks and event-promoting services on Face-book, Couchsurfing etc., have seen a boosting use. Their users are looking for personalised experience but they are often overwhelmed with the number of available options. To overcome this issue, recommender systems serve as users' personal guides. They exploit various techniques and types of influence (geographic, temporal, social, etc.). In this work, we investigate the impact of individuals' psychological profiles on their selection of leisure activities. We describe a comprehensive user study that we have conducted and an associated collection that could be further exploited for the recommendation of leisure activities.","PeriodicalId":260727,"journal":{"name":"Proceedings of the International Workshop on Recommender Systems for Citizens","volume":"349 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126684055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Recommender systems for e-governance in smart cities: state of the art and research opportunities 智慧城市电子政务推荐系统:现状与研究机遇
Proceedings of the International Workshop on Recommender Systems for Citizens Pub Date : 2017-08-31 DOI: 10.1145/3127325.3128331
María E. Cortés-Cediel, Iván Cantador, Olga Gil
{"title":"Recommender systems for e-governance in smart cities: state of the art and research opportunities","authors":"María E. Cortés-Cediel, Iván Cantador, Olga Gil","doi":"10.1145/3127325.3128331","DOIUrl":"https://doi.org/10.1145/3127325.3128331","url":null,"abstract":"E-governance can be considered as the core and most important challenge of smart cities initiatives. It refers to the use of information and communication technologies in the public sector with the aim of improving information and service delivery, reinforcing government transparency, accountability and credibility, and encouraging citizen participation in decision-making processes. In this paper, we survey the state of the art in recommender systems for the e-governance domain, showing that there are few studies on the topic and that published recommendation approaches are quite simple and focus on a very limited number of applications. Moreover, we propose a number of challenging e-governance scenarios where recommender systems could be exploited, and thus represent new research opportunities.","PeriodicalId":260727,"journal":{"name":"Proceedings of the International Workshop on Recommender Systems for Citizens","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116488890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 28
Recommender systems for citizens: the CitRec'17 workshop manifesto 市民推荐系统:CitRec'17研讨会宣言
Proceedings of the International Workshop on Recommender Systems for Citizens Pub Date : 2017-08-31 DOI: 10.1145/3127325.3177871
Jie Yang, Iván Cantador, Diana Nurbakova, María E. Cortés-Cediel, A. Bozzon
{"title":"Recommender systems for citizens: the CitRec'17 workshop manifesto","authors":"Jie Yang, Iván Cantador, Diana Nurbakova, María E. Cortés-Cediel, A. Bozzon","doi":"10.1145/3127325.3177871","DOIUrl":"https://doi.org/10.1145/3127325.3177871","url":null,"abstract":"This manifesto summarises the outcomes of the 1st Workshop on Recommender Systems for Citizens (CitRec'17), held at the 11th ACM Conference on Recommender Systems, in August 2017 in Como, Italy. We discuss challenges and opportunities for the development of recommender systems for citizens, including: the clarification of the role of recommender systems for cities and citizens; in this context, the identification of classes of items to be recommended; the need for targeting and engaging the right population, involving the right stakeholders; and the existence of underlying ethical issues such as fairness and consensus. We further provide an action plan to bring forward the research and application of recommender systems for citizens.","PeriodicalId":260727,"journal":{"name":"Proceedings of the International Workshop on Recommender Systems for Citizens","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125098538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Bumblebee friendly planting recommendations with citizen science data 大黄蜂友好种植建议与公民科学数据
Proceedings of the International Workshop on Recommender Systems for Citizens Pub Date : 2017-08-31 DOI: 10.1145/3127325.3128330
A. Wibowo, Advaith Siddharthan, Helen B. Anderson, Annie Robinson, Nirwan Sharma, H. Bostock, A. Salisbury, R. Comont, R. Wal
{"title":"Bumblebee friendly planting recommendations with citizen science data","authors":"A. Wibowo, Advaith Siddharthan, Helen B. Anderson, Annie Robinson, Nirwan Sharma, H. Bostock, A. Salisbury, R. Comont, R. Wal","doi":"10.1145/3127325.3128330","DOIUrl":"https://doi.org/10.1145/3127325.3128330","url":null,"abstract":"Several citizen science projects engage with the public around pollinator species, typically requesting data (e.g. in the form of photo-records of different species tagged by place and date). While such projects help scientists collect data, these data are rarely fed back to the public in any meaningful manner. In this paper, we address this through a recommender system based on Matrix Factorization over a matrix of observed bumblebee-plant interactions derived from data submitted to a citizen science project BeeWatch. The system recommends pollinator-friendly plants for domestic gardens and takes into account both the fact that different bumblebee species exhibit differing preferences for flowers, and that plants flower at different times of the year. The goal is to attract a range of bumblebee species to a garden and to ensure that these species have sufficient food sources through the season.","PeriodicalId":260727,"journal":{"name":"Proceedings of the International Workshop on Recommender Systems for Citizens","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128713829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Personalized recommendations in e-participation: offline experiments for the 'Decide Madrid' platform 电子参与中的个性化推荐:“决定马德里”平台的离线实验
Proceedings of the International Workshop on Recommender Systems for Citizens Pub Date : 2017-08-31 DOI: 10.1145/3127325.3127330
Iván Cantador, Alejandro Bellogín, María E. Cortés-Cediel, Olga Gil
{"title":"Personalized recommendations in e-participation: offline experiments for the 'Decide Madrid' platform","authors":"Iván Cantador, Alejandro Bellogín, María E. Cortés-Cediel, Olga Gil","doi":"10.1145/3127325.3127330","DOIUrl":"https://doi.org/10.1145/3127325.3127330","url":null,"abstract":"In e-participation platforms, citizens suggest, discuss and vote online for initiatives aimed to address a wide range of issues and problems in a city, such as economic development, public safety, budges, infrastructure, housing, environment, social rights, and health care. For a particular citizen, the number of proposals and debates may be overwhelming, and recommender systems could help filtering and ranking those that are more relevant. Focusing on a particular case, the `Decide Madrid' platform, in this paper we empirically investigate which sources of user preferences and recommendation approaches could be more effective, in terms of several aspects, namely precision, coverage and diversity.","PeriodicalId":260727,"journal":{"name":"Proceedings of the International Workshop on Recommender Systems for Citizens","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124232414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 19
Revisiting revisits in trajectory recommendation 重访轨迹推荐中的重访
Proceedings of the International Workshop on Recommender Systems for Citizens Pub Date : 2017-08-17 DOI: 10.1145/3127325.3127326
A. Menon, Dawei Chen, Lexing Xie, Cheng Soon Ong
{"title":"Revisiting revisits in trajectory recommendation","authors":"A. Menon, Dawei Chen, Lexing Xie, Cheng Soon Ong","doi":"10.1145/3127325.3127326","DOIUrl":"https://doi.org/10.1145/3127325.3127326","url":null,"abstract":"Trajectory recommendation is the problem of recommending a sequence of places in a city for a tourist to visit. It is strongly desirable for the recommended sequence to avoid loops, as tourists typically would not wish to revisit the same location. Given some learned model that scores sequences, how can we then find the highest-scoring sequence that is loop-free? This paper studies this problem, with three contributions. First, we detail three distinct approaches to the problem - graph-based heuristics, integer linear programming, and list extensions of the Viterbi algorithm - and qualitatively summarise their strengths and weaknesses. Second, we explicate how two ostensibly different approaches to the list Viterbi algorithm are in fact fundamentally identical. Third, we conduct experiments on real-world trajectory recommendation datasets to identify the tradeoffs imposed by each of the three approaches. Overall, our results indicate that a greedy graph-based heuristic offer excellent performance and runtime, leading us to recommend its use for removing loops at prediction time.","PeriodicalId":260727,"journal":{"name":"Proceedings of the International Workshop on Recommender Systems for Citizens","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133959096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Chatbots as conversational recommender systems in urban contexts 聊天机器人在城市环境中的会话推荐系统
Proceedings of the International Workshop on Recommender Systems for Citizens Pub Date : 2017-06-30 DOI: 10.1145/3127325.3127331
Pavel Kucherbaev, A. Psyllidis, A. Bozzon
{"title":"Chatbots as conversational recommender systems in urban contexts","authors":"Pavel Kucherbaev, A. Psyllidis, A. Bozzon","doi":"10.1145/3127325.3127331","DOIUrl":"https://doi.org/10.1145/3127325.3127331","url":null,"abstract":"In this paper, we outline the vision of chatbots that facilitate the interaction between citizens and policy-makers at the city scale. We report the results of a co-design session attended by more than 60 participants. We give an outlook of how some challenges associated with such chatbot systems could be addressed in the future.","PeriodicalId":260727,"journal":{"name":"Proceedings of the International Workshop on Recommender Systems for Citizens","volume":"11 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120972260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
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